Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering

The Vehicle Location Method Based on Artificial Neural Networks

Authors
Yingying Liu, Zhi Kong, Lifu Wang, Yiyang Liu
Corresponding Author
Yingying Liu
Available Online December 2015.
DOI
10.2991/icmse-15.2015.298How to use a DOI?
Keywords
Location; GPS; Artificial neural network
Abstract

This paper introduces an GPS(Global Position Systems)location method based on articicial neural networks. Because the signal of GPS receiver is usually influenced surrounding environment, is difficult to obtain continuous and exact location data. A method based on Artificial Neural Network (ANN) is used to predict short time location information to guarantee real-time accurate navigation information. Simulation results have shown that the given method can obtain a certain precision and the approach is applicable.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
Series
Advances in Engineering Research
Publication Date
December 2015
ISBN
10.2991/icmse-15.2015.298
ISSN
2352-5401
DOI
10.2991/icmse-15.2015.298How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yingying Liu
AU  - Zhi Kong
AU  - Lifu Wang
AU  - Yiyang Liu
PY  - 2015/12
DA  - 2015/12
TI  - The Vehicle Location Method Based on Artificial Neural Networks
BT  - Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
PB  - Atlantis Press
SP  - 1642
EP  - 1646
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-15.2015.298
DO  - 10.2991/icmse-15.2015.298
ID  - Liu2015/12
ER  -